Accelerated Materials Discovery

Accelerated Materials Discovery
Author: Phil De Luna
Publisher: Walter de Gruyter GmbH & Co KG
Total Pages: 215
Release: 2022-02-21
Genre: Computers
ISBN: 3110738082


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Typical timelines to go from discovery to impact in the advanced materials sector are between 10 to 30 years. Advances in robotics and artificial intelligence are poised to accelerate the discovery and development of new materials dramatically. This book is a primer for any materials scientist looking to future-proof their careers and get ahead of the disruption that artificial intelligence and robotic automation is just starting to unleash. It is meant to be an overview of how we can use these disruptive technologies to augment and supercharge our abilities to discover new materials that will solve world’s biggest challenges. Written by world leading experts on accelerated materials discovery from academia (UC Berkeley, Caltech, UBC, Cornell, etc.), industry (Toyota Research Institute, Citrine Informatics) and national labs (National Research Council of Canada, Lawrence Berkeley National Labs).


Accelerated Materials Discovery
Language: en
Pages: 215
Authors: Phil De Luna
Categories: Computers
Type: BOOK - Published: 2022-02-21 - Publisher: Walter de Gruyter GmbH & Co KG

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Typical timelines to go from discovery to impact in the advanced materials sector are between 10 to 30 years. Advances in robotics and artificial intelligence a
Accelerated Materials Discovery
Language: en
Pages: 235
Authors: Phil De Luna
Categories: Computers
Type: BOOK - Published: 2022-02-21 - Publisher: Walter de Gruyter GmbH & Co KG

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Typical timelines to go from discovery to impact in the advanced materials sector are between 10 to 30 years. Advances in robotics and artificial intelligence a
Informatics for Materials Science and Engineering: Data-Driven Discovery for Accelerated Experimentation and Application
Language: en
Pages: 542
Authors: Krishna Rajan
Categories: Technology & Engineering
Type: BOOK - Published: 2017-11-13 - Publisher: Butterworth-Heinemann

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Materials informatics: a hot topic area in materials science, aims to combine traditionally bio-led informatics with computational methodologies, supporting mor
Information Science for Materials Discovery and Design
Language: en
Pages: 316
Authors: Turab Lookman
Categories: Technology & Engineering
Type: BOOK - Published: 2015-12-12 - Publisher: Springer

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This book deals with an information-driven approach to plan materials discovery and design, iterative learning. The authors present contrasting but complementar
Accelerating Materials Discovery with Machine Learning
Language: en
Pages:
Authors: Rhys Goodall
Categories:
Type: BOOK - Published: 2021 - Publisher:

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